Dealing with Missing Values in Data

Many existing industrial and research data sets contain missing values due to various reasons, such as manual data entry procedures, equipment errors and incorrect measurements. Problems associated with missing values are loss of efficiency, complications in handling and analyzing the data and bias...

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Bibliographic Details
Main Author: Jiri Kaiser
Format: Article
Language:English
Published: Czech Society of Systems Integration 2014-01-01
Series:Journal of Systems Integration
Subjects:
Online Access:http://si-journal.org/index.php/JSI/article/viewFile/178/134